Cited by 250Human-Automation Interaction and SafetySocial Robot Interaction and HRIEmotion and Mood Recognition

Improving automotive safety by pairing driver emotion and car voice emotion

Nass, Clifford, Jonsson, Ing-Marie, Harris, Helen, Reaves, Ben, Endo, Jack, Brave, Scott, Takayama, Leila·2005·CHI '05 Extended Abstracts on Human Factors in Computing Systems

Abstract

This study examines whether characteristics of a car voice can affect driver performance and affect. In a 2 (driver emotion: happy or upset) x 2 (car voice emotion: energetic vs. subdued) experimental study, participants (N=40) had emotion induced through watching one of two sets of 5-minute video clips. Participants then spent 20 minutes in a driving simulator where a voice in the car spoke 36 questions (e.g., "How do you think that the car is performing?") and comments ("My favorite part of this drive is the lighthouse.") in either an energetic or subdued voice. Participants were invited to interact with the car voice. When user emotion matched car voice emotion (happy/energetic and upset/subdued), drivers had fewer accidents, attended more to the road (actual and perceived), and spoke more to the car. Implications for car design and voice user interface design are discussed.

Integrity signals

Registry

Crossref · 10.1145/1056808.1057070

Cites

10 of 10 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Matching a driver's emotion to a car's voice-based emotion led to better performance in a driving simulator.

    “Nass et al. (2005) found that matching a driver's emotion to a car's voicebased emotion led to better performance in a driving simulator.”

    From Building a Stronger CASA: Extending the Computers Are Social Actors Paradigm (2020) · cites this paper as Nass et al., 2005

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Nass, C., Jonsson, I.-M., Harris, H., Reaves, B., Endo, J., Brave, S., & Takayama, L.
Affiliations
  • Stanford University (US)
  • Toyota Information Technology Center, Palo Alto, CA
Venue
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Publisher
ACM
Published
2005-04-02
Pages
1973-1976
OpenAlex
W2164809575
Cited by
249
References
10
Citations by year
2026: 6 · 2025: 18 · 2024: 17 · 2023: 8 · 2022: 17 · 2021: 25 · 2020: 18 · 2019: 26 · 2018: 14 · 2017: 15 · 2016: 5 · 2015: 11 · 2014: 16 · 2013: 7 · 2012: 7
FWCI
8.52
Type
conference paper
Language
en
Open access
closed
Locations
CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) (publishedVersion)
Topics
  • Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
  • Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
Keywords
driver emotions, voice user interface, driving performance, road safety, driver attention, tone of voice, in-vehicle interaction, driver-vehicle interaction

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review